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B.E Artificial Intelligence and Machine Learning Digital Business Management Syllabus - Mumbai University

This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.

Digital-Business-Management.pdf
Semester 8 · Fourth Year AI-ML

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Syllabus for Digital Business Management

Semester 8 · Fourth Year AI-ML

Module 1: Introduction to Digital Business

  • Introduction, Background and current status, E-market places, structures, mechanisms, economics and impacts Difference between physical economy and digital economy, Drivers of digital business- Big Data & Analytics, Mobile, Cloud Computing, Social media, BYOD, and Internet of Things(digitally intelligent machines/services) Opportunities and Challenges in Digital Business,

Module 2: Overview of E-Commerce

  • E-Commerce- Meaning, Retailing in e-commerce-products and services, consumer behavior, market research and advertisement B2B-E-commerce-selling and buying in private e-markets, public B2B exchanges and support services, e-supply chains, Collaborative Commerce, Intra business EC and Corporate portals Other E-C models and applications, innovative EC System-From E- government and learning to C2C, mobile commerce and pervasive computing EC Strategy and Implementation-EC strategy and global EC, Economics and Justification of EC, Using Affiliate marketing to promote your e- commerce business, Launching a successful online business and EC project, Legal, Ethics and Societal impacts of EC

Module 3

  • Digital Business Support services: ERP as e –business backbone, knowledge Tope Apps, Information and referral system Application Development: Building Digital business Applications and Infrastructure

Module 4: Managing E-Business-Managing Knowledge, Management skills for e business, Managing Risks in e –business Security Threats to e-business Security Overview, Electronic Commerce Threats, Encryption, Cryptography, Public Key and Private Key Cryptography, Digital Signatures, Digital Certificates, Security Protocols over Public

  • Networks: HTTP, SSL, Firewall as Security Control, Public Key Infrastructure (PKI) for Security, Prominent Cryptographic Applications

Module 5

  • E-Business Strategy-E-business Strategic formulation- Analysis of Company’s Internal and external environment, Selection of strategy, E- business strategy into Action, challenges and E-Transition (Process of Digital Transformation)

Module 6: Materializing e-business: From Idea to Realization-Business plan preparation Case Studies and presentations

References

  • 1 A textbook on E-commerce, Er Arunrajan Mishra, Dr W K Sarwade,Neha Publishers & Distributors, 2011
  • 2 E-commerce from vision to fulfilment, Elias M. Awad, PHI-Restricted, 2002
  • 3 Digital Business and E-Commerce Management, 6th Ed, Dave Chaffey, Pearson, August 2014
  • 4 Introduction to E-business-Management and Strategy, Colin Combe, ELSVIER, 2006
  • 5 Digital Business Concepts and Strategy, Eloise Coupey, 2 nd Edition, Pearson
  • 6 Trend and Challenges in Digital Business Innovation, VinocenzoMorabito, Springer
  • 7 Digital Business Discourse Erika Darics, April 2015, Palgrave Macmillan
  • 8 E-Governance-Challenges and Opportunities in : Proceedings in 2nd International Conference theory and practice of Electronic Governance
  • 9 Perspectives the Digital Enterprise –A framework for Transformation, TCS consulting journal Vol.5
  • 10 Measuring Digital Economy-A new perspective -DOI:10.1787/9789264221796-enOECD Publishing

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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